jobsPosted 9 days ago
In-House Legal Counsel (Specialized domains)
L
LegalTrustAI
📅Primary
last date
Open Access
📍
Location/Place/Mode
Remote (United States / Ashburn, VA)
🔖
Eligibility
Licensed legal practitioner with a J.D., LL.B., or LL.M. from an accredited institution, with strong experience in real estate, tax, bankruptcy/restructuring, or trusts and estates law.

Opportunity
Title: In-House Legal Counsel (Specialized domains)
Category: Jobs
Organiser: LegalTrustAI
Location: Remote (United States / Ashburn, VA)
Eligibility: Licensed legal practitioner with a J.D., LL.B., or LL.M. from an accredited institution, with strong experience in real estate, tax, bankruptcy/restructuring, or trusts and estates law.
Pay Range: $85.00/hr - $120.00/hr (Contract, 20+ hours/week)
Deadline: Not specified Description:
LegalTrustAI is seeking a contract-based In-House Legal Counsel to contribute specialized legal expertise to develop high-quality reasoning datasets and evaluate outputs across complex domains such as real estate, tax, bankruptcy, and estates. Core Responsibilities:
How to Apply:
Interested candidates can apply directly through the LinkedIn job posting.
Category: Jobs
Organiser: LegalTrustAI
Location: Remote (United States / Ashburn, VA)
Eligibility: Licensed legal practitioner with a J.D., LL.B., or LL.M. from an accredited institution, with strong experience in real estate, tax, bankruptcy/restructuring, or trusts and estates law.
Pay Range: $85.00/hr - $120.00/hr (Contract, 20+ hours/week)
Deadline: Not specified Description:
LegalTrustAI is seeking a contract-based In-House Legal Counsel to contribute specialized legal expertise to develop high-quality reasoning datasets and evaluate outputs across complex domains such as real estate, tax, bankruptcy, and estates. Core Responsibilities:
- Design realistic specialty scenarios (e.g., real estate transactions, tax structuring, bankruptcy filings, estate planning workflows).
- Produce high-quality reference responses at an attorney-level standard.
- Evaluate model-generated outputs using structured rubrics.
- Deliver detailed written feedback to improve model performance.
- Participate in onboarding sessions and calibration exercises.
How to Apply:
Interested candidates can apply directly through the LinkedIn job posting.